Enrolments for 2019 have closed.
Knowledge Management and Analytics
Undergraduate | SWI-INF30015 | 2019
Course information for 2019 intake
View information for 2020 course intakeGet critical about the origins of organisational learning to gain a sustainable, competitive advantage. Solve problems through design. Learn how big data reveals patterns and the way analytics are used to substantiate and support business decisions.
- Study method
- 100% online
- Assessments
- 100% online
- Entry requirements
- Prior study needed
- Duration
- 13 weeks
HECS-HELP and FEE-HELP available
Knowledge Management and Analytics
About this subject
Students who successfully complete this subject will be able to:
- Apply coherent and advanced knowledge of the concepts of knowledge and knowledge management, as well as their roles and applications in the contemporary organisational context
- Critically analyse the role of big data and analytics in organisational knowledge management in relationship to decision making
- Apply problem solving, design and decision making methodologies to identify and provide innovative solutions to complex problems associated with organisational learning with intellectual independence
- Communicate effectively as a professional and function as an effective leader or member of a diverse team.
- The nature and origins of organizational knowledge, learning, memory, capabilities and competences, and knowledge workers
- The nature of knowledge and its management within a contemporary organisation, including the processes of creation, capture, sharing, and application
- The strategy and business case for enhancing and improving the efficacy and effectiveness of KM contained in a KM system
- The role of big data and analytics in knowledge management practices and strategy
- Cases of utilizing big data in knowledge management systems and knowledge management initiatives
- Utilizing big data results as organizational knowledge to support decision making
- Issues in knowledge management inc.: communities of practice, advanced taxonomies, big data analysis, cloud computing, XaaS, social network analysis
- Specific cases of knowledge management practices and applications from real-world organisational contexts
In this subject students learn about the contemporary organisation, organisational learning as a critical concept contributing to sustainable competitive advantage. Knowledge Management is an integral and pertinent concept within an organisational learning environment. This subject aims to develop and enhance students’ conceptual and practical understanding of the key aspects and the fundamental principles of Knowledge Management, particularly in the increasing use of analytics within a Knowledge Management environment.
Please note: assessment values are indicative only, details will be advised at the start of the subject.
- Individual (20-30%)
- Group (20-30%)
- Individual (40-60%)
For textbook details check your university's handbook, website or learning management system (LMS).
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Entry requirements
Prior study
You must have successfully completed the following subject(s) before starting this subject:
one of
- SWI-INF10003-Introduction to Business Information Systems
SWI-INF10014 (Not currently available)
Others
Students should have completed 150 Credit Points (12 units) including INF10003 Introduction to Business Information Systems.
Additional requirements
No additional requirements
Study load
- 0.125 EFTSL
- This is in the range of 10 to 12 hours of study each week.
Equivalent full time study load (EFTSL) is one way to calculate your study load. One (1.0) EFTSL is equivalent to a full-time study load for one year.
Find out more information on Commonwealth Loans to understand what this means to your eligibility for financial support.
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